Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Java Full Stack Development Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Position Title: Full Stack Enterprise Architect Overview: Role Summary AI POWERED TECH TALENT Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership.AI Powered Tech Talent Key Responsibilities Solution Architecture Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.

Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows. AI Integration Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.

Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems. Full-Stack Design Architect scalable front-end and back-end solutions using contemporary frameworks and cloud-native patterns.





Optimize API design, data flows, and UI/UX for AI-assisted features.

Collaboration

Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices. Governance & Quality Maintain architectural integrity, scalability, and reliability enforce responsible AI usage and guardrails. Must-Have Qualifications Solid foundation in enterprise engineering, SDLC, and domain/industry workflows.

Demonstrated capability in using copilots and LLM tools for software development tasks. Practical understanding of AI concepts like RAG and limitations of LLMs. Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity.

Does not train models or design ML architectures focuses on integration and productivity uplift. Programming & Full-Stack Skills Backend (Any 1 or more): Java (Spring Boot) – microservices, API integration

.NET (C#) – enterprise application frameworks

Python – scripting, automation, AI API integration Frontend: React / Angular / Vue.js – responsive UI development

TypeScript / JavaScript – modern front-end engineering Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.

Additional Information: The candidate should have minimum 12 years of experience in Java Full Stack Development.

A 15 years full time education is required.

📌 Custom Software Engineer (Mumbai)
🏢 Accenture in India
📍 Mumbai